Yuwang Wang

According to our database1, Yuwang Wang authored at least 31 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Context-aware Talking Face Video Generation.
CoRR, 2024

2023
DisControlFace: Disentangled Control for Personalized Facial Image Editing.
CoRR, 2023

How does representation impact in-context learning: A exploration on a synthetic task.
CoRR, 2023

Shape Guided Gradient Voting for Domain Generalization.
CoRR, 2023

Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization.
CoRR, 2023

Super-NeRF: View-consistent Detail Generation for NeRF super-resolution.
CoRR, 2023

Hi Sheldon! Creating Deep Personalized Characters from TV Shows.
CoRR, 2023

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models.
CoRR, 2023

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Template-guided Hierarchical Feature Restoration for Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unifying Layout Generation with a Decoupled Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Decomposing style, content, and motion for videos.
J. Vis. Commun. Image Represent., 2022

Test-time Batch Normalization.
CoRR, 2022

Visual Concepts Tokenization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Building A Group-based Unsupervised Representation Disentanglement Framework.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Corrections to "Blind quality assessment for image superresolution using deep two-stream convolutional networks".
Inf. Sci., 2021

Understanding Mobile GUI: from Pixel-Words to Screen-Sentences.
CoRR, 2021

Do Generative Models Know Disentanglement? Contrastive Learning is All You Need.
CoRR, 2021

GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement.
CoRR, 2021

Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Blind quality assessment for image superresolution using deep two-stream convolutional networks.
Inf. Sci., 2020

2019
Monocular Viewpoints Estimation for Generic Objects in the Wild.
IEEE Access, 2019

Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised High-Resolution Depth Learning From Videos With Dual Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial View-Consistent Learning for Monocular Depth Estimation.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2017
The Light Field Attachment: Turning a DSLR into a Light Field Camera Using a Low Budget Camera Ring.
IEEE Trans. Vis. Comput. Graph., 2017

2015
MultiFab: a machine vision assisted platform for multi-material 3D printing.
ACM Trans. Graph., 2015

2014
Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity.
Proceedings of the Computer Vision - ACCV 2014, 2014


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